Simon Janssen
Simon Janssen· CTO at HappyNurse · US AI Exposure Map 2026
Healthcare Support

Home Health and Personal Care Aides and AI

Low exposureAI score 3/10 · Healthcare Support
3out of 10
JPE Score
Median salary
$35K
Forecast 2030
+7% to +8%
Employment
4.0M
BLS growth '23–'33
+21%
Trend
growth
Sector
Healthcare Support

Exposure scores

JPE (Practical Exposure)3/10 — Low exposure
Felten AIOE (academic reference)5.3/10
BLS growth projection (2023–2033, 10yr)+21%

AI exposure explained

What does an AI score of 3/10 mean?

Interpretation

Low exposure — AI is unlikely to significantly change this occupation in the near term.

Home Health and Personal Care Aides has low AI exposure and strong growth momentum. This occupation benefits from human-centric demand drivers that AI cannot easily replicate.


Forecast 2030

What changes for Home Health and Personal Care Aides?

Modeled employment change by 2030
+7% to +8%
Disruption risk: Low

This model combines BLS Employment Projections (2023–2033 horizon, interpolated to 2030) with an AI disruption factor calibrated for the US labor market (at-will employment, higher labor mobility, stronger AI adoption). A range of +7% to +8% means employment for Home Health and Personal Care Aides is modeled to grow by 2030. This is a scenario, not a prediction.


Sector context

Healthcare Support and AI

Home Health and Personal Care Aides belongs to the Healthcare Support sector. This sector has an education level index of 2/4, indicating moderate formal education requirements. Occupations in Healthcare Support with high AI exposure tend to remain relatively stable as the work relies primarily on physical, interpersonal, or contextual skills.


AI tools

Which AI tools are already making an impact?

Epic AINuance DAX

Career outlook

Low exposure — Leverage AI to enhance your strengths

Direct AI impact is limited, but the world around you is changing. Use AI where it supports your work and keep investing in what makes this occupation uniquely human.


Personal development

Personal development plan

Based on your sector (Healthcare Support) and AI exposure level, here are three concrete steps to future-proof your career.

Learn clinical documentation AI

AI scribes reduce charting time so you can focus on patients

Nuance DAX, Epic AI
Use AI patient scheduling tools

Smart scheduling reduces wait times and improves throughput

Epic MyChart, Qventus
Adopt care coordination platforms

AI ensures nothing falls through the cracks in patient handoffs

Epic MyChart, CarePort

Related occupations

Similar occupations on the map

Medical Assistants
AI 5/10·-1% 2030
Healthcare Support
Fast Food and Counter Workers
AI 3/10·+0% 2030
Food Service
Laborers and Freight, Stock, and Material Movers, Hand
AI 2/10·+5% 2030
Transportation

About this analysis

AI scores are LLM-estimated using the same methodology as the Dutch AI Exposure Map, making scores directly comparable across countries. The Felten AIOE score is shown as an academic reference. Employment and salary data from BLS OEWS May 2024. A high AI score does not automatically mean job loss — Software Developers score 9/10 but BLS projects +17% growth (2023–2033). The 2030 forecast interpolates BLS 10-year projections to a 2030 horizon and adjusts with AI disruption pressure. These are modeled scenarios, not predictions. All data CC BY 4.0.

Full methodology, sources and download →


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